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. On the EIC side, the successuful candidate will participate in the detector effort around the Roman pots. IJCLab is involved at various levels in the project, in design, cooling, and electronics testing
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the framework of this European project. Furthermore, knowledge in polymer materials and knowledge of the field of printed electronic will be an additional asset. LanguagesENGLISHLevelExcellent
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- 4 Additional Information Eligibility criteria • Experience in computer modeling and programming • Knowledge of associative learning at both the neurobiological and psychological levels • Experience
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. The position is primarily based in the Electronics team of GREYC in Caen, France (20 permanent researcher and 3 permanent Engineers and Technician). The successful candidate will work within the functional oxide
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AIix-Marseille University/A*MIDEX | Marseille, Provence Alpes Cote d Azur | France | about 2 months ago
oxidizing site(s) and/or electron transfer relays (as in KatGs and other natural enzymes [1]) relies on our currently developed de novo heme-only functional proteins, using self-assembling α-helical scaffolds
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for homogeneous photocatalysis. Physico-chemical characterization Structural, optical, and electronic analysis of materials (spectroscopies, microscopies, electrochemistry, etc.) to establish structure–property
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(Raman, fluorescence), electron-based microscopy, X-ray-based imaging, diffraction and spectroscopy, micro-/millifluidic device design and operation, image/video analysis, bacteria cultivation and
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, and contact information for two references via email to: gerard.derosiere@inserm.fr Where to apply E-mail gerard.derosiere@inserm.fr Requirements Research FieldNeurosciences » NeurophysiologyEducation
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electrodes using various electron microscopy techniques (e.g. FIB-SEM); (ii) Reconstruction of the 3D structure through image analysis; (iii) Analysis of images from new and aged membrane-electrode assemblies
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, electronic properties, and spectroscopic response. A major component of the project will focus on coupling DFT calculations with machine learning models to accelerate spectral prediction, identify robust